Faculty Profiles - SHIGEI Noritaka

Papers - SHIGEI Noritaka

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Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori . Simplified Security Learning Using Vertically Partitioned Data with IoT . Proc. of 2020 International Symposium on Nonlinear Theory and Its Applications 243 - 246 2020.11Reviewed

Ryota Yamaguchi; Noritaka Shigei; Hirofumi Miyajima; Hiromi Miyajima . Personal identification by learning-based integration of facial and clothes similarities . 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 307 - 308 2020.10Reviewed International journal

Yamaguchi Ryota, Ogura Kohei, Shigei Noritaka, Miyajima Hiromi . Personal Identification Methods by Using Facial and Clothing Features for Entry and Exit Management and Its Identification Using Multiple Frames . Proceedings of the Fuzzy System Symposium36 ( 0 ) 259 - 262 2020.9

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics

In this research, we develop user identification methods using facial and clothing features as methods without user operation. We propose two types of integration methods of facial and clothing features: the one based on thresholds and weights and the other using machine learning. Further, we propose an identiflcation method from multiple frames. The evaluation results demonstrate the effectiveness of the proposed methods.

DOI： 10.14864/fss.36.0_259

CiNii Research

Miyajima Hirofumi, Shigei Noritaka, Miyajima Hiromi, Shiratori Norio . Privacy preserving Particle Swarm Optimization method for Secure Multiparty Computation . Proceedings of the Fuzzy System Symposium36 ( 0 ) 379 - 384 2020.9

Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics

Many studies for privacy preserving data mining have been done. Secure Multiparty Computation (SMC) has been introduced for privacy preserving data. SMC was applied to some statistical computation methods. However, SMC needs to be applied to other complex computations for data mining. In this paper, we will propose a Particle Swarm Optimization (PSO) method for SMC and show the effectiveness in numerical simulation.

DOI： 10.14864/fss.36.0_379

CiNii Research

Hirashima Kei, Shigei Noritaka, Sugimoto Satoshi, Ishizuka Yoichi, Miyajima Hiromi . Semi-Supervised Learning for Land-Use Classification from Aerial Photograph Using Convolutional Neural Network . Proceedings of the Fuzzy System Symposium36 ( 0 ) 277 - 282 2020.9

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：Japan Society for Fuzzy Theory and Intelligent Informatics

In recent years, GIS (geographical information system), integrating various map information, has been utilized in a wide range of flelds. Land-use is useful information in GIS data, a basic data for developing and planning public works projects. However, detailed information is not available except for some urban areas. On the other hand, it is expected that detailed estimation can be performed by using machine learning, such as a convolutional neural network (CNN) from aerial photographs. However, to improve its accuracy, a large amount of labeled data is required. In this study, we consider generating efficiently labeled data from map symbols of GIS data as a means to efficiently increase the data. Further, we propose to perform semi-supervised learning using this method. We demonstrate the effectiveness of the proposed method in 6 classes of land-use classiflcation.

DOI： 10.14864/fss.36.0_277

CiNii Research

山下悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一 . 家屋の有無を考慮したCNNを用いた立体地図と空中写真からの土砂災害の危険箇所推定 . 土木学会西部支部研究発表会講演概要集 275 - 276 2020.3

米玉利悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一, 宮島廣美 . ニューラルネットワークを用いた地盤強度の推定法の精度改善 . 知能と情報32 ( 1 ) 539 - 543 2020.2Reviewed

Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori . Fast and Secure Learning Algorithms for Classification Problems using Vertically Partitioned Data with IoT . Proc. of International Symposium on Artificial Life and Robotics 321 - 326 2020.1Reviewed

Ryo Fukuoka, Noritaka Shigei, Yoshihiro Nakamura, Hiromi Miyajima . Proposal of CNN models for acquiring stop and turn motion of self-driving model car . Proc. of International Symposium on Artificial Life and Robotics 371 - 375 2020.1Reviewed

岩永英俊，重井徳貴，石塚博子 . 単語の条件付き確率とTFによる特徴量を用いた問い合わせ文書の分類 . 日本知能情報ファジィ学会九州支部学術講演会予稿集 96 - 99 2019.11

Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima . Fuzzy Modeling using Neural Gas . Proceedings of the World Congress on Engineering and Computer Science 2019 409 - 414 2019.11Reviewed

山口涼太, 重井徳貴 . 入退室管理のための顔特徴と衣服特徴による個人識別に関する一考察 . 電気・情報関係学会九州支部連合大会講演論文集 380 - 380 2019.9

米玉利悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一 . ニューラルネットワークを用いた地盤強度の推定法 . 第35回ファジィシステムシンポジウム講演論文集 70 - 73 2019.8

宮島洋文, 久冨木大夢, 重井徳貴, 宮島廣美 . ベクトル量子化を用いたファジィ推論システムの学習法 . 知能と情報（日本知能情報ファジィ学会誌）31 ( 2 ) 690 - 699 2019.4Reviewed

宮島洋文, 重井徳貴, 宮島廣美, 白鳥則郎 . 簡易秘密計算法による安全な連続値Q-learningの実現 . バイオメディカル・ファジィ・システム学会誌20 ( 2 ) 1 - 7 2019.3Reviewed

Noritaka Shigei, Kazuki Mandai, Satoshi Sugimoto, Ryoma Takaesu, Yoichi Ishizuka . Land-Use Classification Using Convolutional Neural Network with Bagging and Reduced Categories . Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2019 7 - 11 2019.3Reviewed

Noritaka Shigei, Hiroki Urakawa, Yoshihiro Nakamura, Masahiro Teramura, Hiromi Miyajima . Accuracy improvement of accelerometer-based location estimation using neural network . Advances in Intelligent Systems and Computing744 79 - 85 2018.6Reviewed

Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori . A Proposal of Profit Sharing Method for Secure Multiparty Computation . International Journal of Innovative Computing, Information and Control14 ( 2 ) 727 - 735 2018.4Reviewed

Hirofumi Miyajima, Noritaka Shigei, and Hiromi Miyajima . Fuzzy Modeling using Vector Quantization with Supervised Learning . Proceedings of The International MultiConference of Engineers and Computer Scientists 2018 17 - 22 2018.3

Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, and Norio Shiratori . Privacy Preserving Q-learning in the AnalogModel for Secure Multiparty Computation . Proceedings of the International MultiConference of Engineers and Computer Scientists 2018 374 - 379 2018.3Reviewed

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Papers - SHIGEI Noritaka